Advances in Feature Selection for Data and Pattern Recognition

Discusses recent developments and research trends in the field of feature selection and data and pattern recognition Presents theoretical approaches as well as applications Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity Read More

Discusses recent developments and research trends in the field of feature selection and data and pattern recognition Presents theoretical approaches as well as applications Introduces novel propositions, highlighting and discussing properties of objects, analyzing intricacies of processes, and bounds on computational complexity Read Less

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  	This is a digital edition of this title. Rent eBook (5 Options) 30 Day Rental: $50.70 (Expires Jul 11, 2024) 60 Day Rental: $67.60 (Expires Aug 10, 2024) 90 Day Rental: $84.50 (Expires Sep 09, 2024) 120 Day Rental: $101.40 (Expires Oct 09, 2024) 180 Day Rental: $109.85 (Expires Dec 08, 2024) Title: Advances in Feature Selection for Data and Pattern Recognition by Urszula Staå„Czyk Publisher: Springer Nature Print ISBN: 9783319675879, 3319675877 eText ISBN: 9783319675886 Edition: 2017 2018 edition Format: PDF eBook	$50.70 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ